90th percentile – 100ms
95th percentile – 250ms

90th percentile – 120ms
95th percentile – 275ms

90th percentile – 150ms
95th percentile – 300ms

90th percentile – 250ms
95th percentile – 400ms

• Store your code in a Git-based version control system.
• Establish a process that allows developers to merge their own changes at the end of each
day.
• Package and upload code lo a versioned Cloud Storage bucket as the latest master
version.

• Store your code in a Git-based version control system.
• Establish a process that includes code reviews by peers and unit testing to ensure
integrity and functionality before integration of code.
• Establish a process where the fully integrated code in the repository becomes the latest
master version.

• Store your code as text files in Google Drive in a defined folder structure that organizes
the files.
• At the end of each day. confirm that all changes have been captured in the files within the
folder structure.
• Rename the folder structure with a predefined naming convention that increments the
version.

• Store your code as text files in Google Drive in a defined folder structure that organizes
the files.
• At the end of each day, confirm that all changes have been captured in the files within the
folder structure and create a new .zip archive with a predefined naming convention.
• Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest
version.

Reroute the user traffic from the affected region to other regions that don’t report issues.

Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the
affected region.

Add an extra node pool that consists of high memory and high CPU machine type
instances to the cluster.

Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error
messages in the logs.

Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.

Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.

Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the
Stackdriver Workspace.

Create a new GCP monitoring project, and create a Stackdriver Workspace inside it.
Attach the production projects to this workspace. Grant relevant team members read
access to the Stackdriver Workspace.

Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys
frequently

Inject the secret at the time of instance creation via an encrypted configuration
management system.

Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application

Leverage a continuous build pipeline that produces multiple versions of the secret for
each instance of the application.

MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33%

MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%

MTTD:5
MTTR: 10
MTBF: 90
Impact 50%

MTTD:5
MTTR: 20
MTBF: 90
Impact: 50%

Instrument all applications with Stackdriver Profiler.

Instrument all applications with Stackdriver Trace and review inter-service HTTP
requests.

Use Stackdriver Debugger to review the execution of logic within each application to
instrument all applications.

Modify the Node.js application to log HTTP request and response times to dependent
applications. Use Stackdriver Logging to find dependent applications that are performing
poorly.

• In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.• In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.

• In your application, create a metric with a metricKind set to CUMULATIVE and a
valueType set to DOUBLE.
• In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.

• In your application, create a metric with a metricKind set to gauge and a valueType set to
distribution.
• In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.

• In your application, create a metric with a metricKind. set
toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
• In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.